{"id":"W2101439782","doi":"10.1186/gb-2013-14-8-r88","title":"The genome and transcriptome of Haemonchus contortus, a key model parasite for drug and vaccine discovery","year":2013,"lang":"en","type":"article","venue":"Genome biology","topic":"Helminth infection and control","field":"Veterinary","cited_by":376,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Scottish Government; Wellcome Trust; University of Calgary; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Biology; Haemonchus contortus; Genome; Transcriptome; Parasite hosting; Drug discovery; Computational biology; Human genetics; Key (lock); Genomics; Genetics; Evolutionary biology; Gene; Bioinformatics; Helminths; Zoology; Ecology; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001985719,0.0001405564,0.0002883697,0.00004799939,0.0001360043,0.00003543308,0.0001005453,0.00008889678,0.00003398456],"category_scores_gemma":[0.00002025127,0.00009351689,0.00006483358,0.00003475572,0.0001117705,0.0001110444,0.00003459588,0.00007164707,0.000008969548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001579506,"about_ca_system_score_gemma":0.00002232273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001826941,"about_ca_topic_score_gemma":0.00005849585,"domain_scores_codex":[0.9991009,0.00006577518,0.000287377,0.0002400363,0.00003170301,0.0002741748],"domain_scores_gemma":[0.9994325,0.0001481819,0.00008716441,0.0001936906,0.00006044271,0.00007800623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008430678,0.00006033078,0.007593079,0.00008444214,0.0002399298,0.000002385762,0.001650856,0.00001478006,0.9699996,0.00827095,0.0002097822,0.01103076],"study_design_scores_gemma":[0.0138688,0.005188525,0.6665603,0.0000301732,0.0003123016,0.0003549899,0.001121396,0.02948823,0.0007908258,0.02577344,0.25511,0.001401029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878661,0.003918712,0.005777098,0.001089672,0.0001148851,0.0007208308,0.000150048,0.00002542045,0.0003372577],"genre_scores_gemma":[0.9977826,0.0004254384,0.0001406666,0.0003540157,0.00008284135,0.0002178549,0.00002020687,0.00001390594,0.0009624326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9692088,"threshold_uncertainty_score":0.3813508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620701181788017,"score_gpt":0.2864200979531421,"score_spread":0.260213086135262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}